Blind Source Separation Modules for Radar Pulse Descriptor Word Generation
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Solution Overview
Problem
Existing PDW vector signal processing systems using fixed bandwidth channels suffer from reduced accuracy and efficiency in estimating parameters like center frequency, bandwidth, and pulse width of signals from multiple radar emitters, requiring larger and more complex processor architectures.
Innovation Solution
The implementation of blind source separation (BSS) modules with frequency filter coefficients and center frequency parameters in a signal data processor to generate PDW parameter vectors, allowing for dynamic filtering and updating of filter coefficients, enabling accurate and efficient PDW generation without relying on fixed bandwidth channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed bandwidth channels are used to generate PDW vectors, then the system structure is simpler, but the accuracy of PDW parameter estimates (center frequency, bandwidth, pulse time, pulse width) deteriorates
Solution Approach 1:
The patent implements dynamic bandwidth channels that adapt their bandwidth based on the spectral characteristics of received signals, replacing fixed bandwidth channels. This allows the system to maintain high measurement precision for PDW parameters by adjusting channel bandwidth dynamically, while avoiding the need for excessively complex processor architectures through intelligent adaptation rather than brute-force complexity
Solution Approach 2:
The system changes the bandwidth parameter of channels dynamically based on signal characteristics. By adjusting the bandwidth parameter adaptively, the system achieves high accuracy in estimating PDW parameters (center frequency, bandwidth, pulse time, pulse width) without requiring a overly complex processor architecture, as the parameter adaptation optimizes the extraction process
2Measurement precision
If fixed bandwidth channels are used to generate PDW vectors, then the device size is reduced, but the estimation accuracy of PDW parameters deteriorates
Solution Approach 1:
The patent employs dynamic bandwidth channels that adapt to signal spectral characteristics, enabling high estimation accuracy without increasing processor size. The dynamic adaptation allows the system to achieve precise PDW parameter estimates using a compact processor architecture, as the intelligence of adaptation replaces the need for physical expansion
Solution Approach 2:
By dynamically changing the bandwidth parameter based on signal characteristics, the system achieves high measurement precision without requiring a larger processor. The parameter adaptation optimizes the estimation process, allowing accurate PDW parameter extraction from a compact processor design
3Productivity
If larger and more complex processor architectures are used, then the speed and accuracy of PDW parameter estimates improve, but the device complexity increases
Solution Approach 1:
The patent achieves high productivity in PDW generation through dynamic bandwidth adaptation rather than increasing processor complexity. The adaptive channels efficiently process signals by matching their bandwidth to signal characteristics, enabling fast and accurate PDW parameter estimation without requiring large, complex processor architectures
Solution Approach 2:
The system improves PDW generation speed and accuracy by dynamically changing channel bandwidth parameters to match signal spectral content. This parameter adaptation enables efficient processing that achieves high productivity without the need for complex processor architectures, as the adaptive parameters optimize the extraction process
4Productivity
If fixed bandwidth channels are used, then the system is easier to implement, but the efficiency of continuously generating high quality PDW vectors deteriorates
Solution Approach 1:
The patent achieves high efficiency in continuously generating high-quality PDW vectors through dynamic bandwidth adaptation. The system maintains ease of implementation by using adaptive algorithms that automatically adjust channel bandwidth based on signal characteristics, eliminating the need for complex manual configuration while optimizing PDW generation efficiency continuously
Data Source
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AI summary
A method for generating pulse descriptor words (PDWs) including frequency and/or bandwidth data from time-varying signals 114/116 received by a sensor 103 includes filtering, at a plurality of blind source separation (BSS) modules 120, signals 124/126 derived from the time-varying signals 114/116, each BSS module 120 including a filtering subsystem 207 having a plurality of filter modules 207a/207b/207c. Each filter module 207a/207b/207c has a frequency filter coefficient (α) and is parameterized by a center frequency (f). The method also includes transmitting at least one blind source separated signal 129 from the BSS modules 120 to a PDW generation module 128 communicatively coupled to the filtering subsystem 207. The method further includes generating, using the PDW generation module 128 and based on the blind source separated signal 129, at least one PDW parameter vector signal 138 containing the frequency data. The method also includes updating, upon generating and based on the PDW parameter vector signal 138, values of α and/or f for each filter module 207a/207b/207c.